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Publication Detail
Soundness of data flow analyses for weak memory models
  • Publication Type:
    Conference
  • Authors:
    Alglave J, Kroening D, Lugton J, Nimal V, Tautschnig M
  • Publication date:
    26/12/2011
  • Pagination:
    272, 288
  • Published proceedings:
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Volume:
    7078 LNCS
  • ISBN-13:
    9783642253171
  • Status:
    Published
  • Print ISSN:
    0302-9743
Abstract
Modern multi-core microprocessors implement weak memory consistency models; programming for these architectures is a challenge. This paper solves a problem open for ten years, and originally posed by Rinard: we identify sufficient conditions for a data flow analysis to be sound w.r.t. weak memory models. We first identify a class of analyses that are sound, and provide a formal proof of soundness at the level of trace semantics. Then we discuss how analyses unsound with respect to weak memory models can be repaired via a fixed point iteration, and provide experimental data on the runtime overhead of this method. © 2011 Springer-Verlag.
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